FicFarestructured test logs for story platforms

test log // 2026-10-07 cycle

AI Dungeon Alternatives: The Field, Tested

By Jonah Petrov · test cycle October 2026

Answer first: what you are escaping from AI Dungeon determines the replacement. Escape the moderation posture: NovelAI (uncensored subscriber tier) or SillyTavern over local models (no operator at all). Escape the memory limits: NovelAI's lorebook or SillyTavern's world books. Escape the subscription: local stacks or freemium chat platforms. Escape the drift (long-session plot decay): the external-memory engines, or the authored tier (curated interactive fiction matched by preference, the romance side included), where drift is impossible because nothing is improvised. The field, with this desk's probe results, follows.

The field

PlatformBeats AI Dungeon atCostsTrade
NovelAIGeneration quality, lorebook memory, uncensored tierSubscriptionLorebook wants maintenance
SillyTavern + local modelsControl, memory exposure, running costSoftware free, hardware realSetup literacy
DreamGenSteering obedienceSubscriptionSmaller ecosystem
KoboldCpp / local UIsSovereignty, model choiceHardwareYou are the operator
Chai / JanitorAI (chat class)Casual mobile accessFreemium / APINot story engines
Ouba (ouba.art)Reliability of story stateCatalog-dependentAuthored, not generated

Why people leave, by category

The moderation history: AI Dungeon's policy changes are the most documented saga in the category, and a durable share of its alumni cite a specific policy era. The memory ceiling: memory plus world info is good for sessions and imperfect across them, and long serials expose it. The drift: every generated platform's shared failure, the model inventing past the plot because invention reads better locally. And the metering: freemium action limits make marathon sessions a subscription conversation. Each escape-reason routes to a different alternative, which is why this page is organized by the reason and not by the ranking.

The alternatives, probe notes

NovelAI. The default successor and the category's prosumer standard: finer prose generation, the lorebook (keyword-triggered story state), and an uncensored tier whose posture is public and stable. Probes: detail and consequence recall pass with a maintained lorebook; cross-session state is the field's most reliable hosted implementation. The maintenance burden is real and is the price of the memory.

SillyTavern plus local models. The sovereignty stack: open-source frontend, world-book memory with every parameter visible, any model you can serve on your own hardware (KoboldCpp and peers). Probes run best here because the instrumentation is total. The trade is the steepest learning curve in the category and a hardware purchase that some readers will correctly decline.

DreamGen. The steering option: explicit control over plot direction and prose style, which reduces drift at the source by obeying direction rather than negotiating with it. Probes showed the field's best directive-following. The ecosystem is smaller; the fit is players who want to direct rather than discover.

The local UIs (KoboldCpp and peers). Included separately from SillyTavern because some escapees want minimal machinery, not a frontend with opinions: a local model server and a simple interface, total privacy, no subscriptions ever. The trade is the same setup literacy, minus the community tooling.

The chat class (Chai, JanitorAI). Listed with a warning label: these answer a different question. They improvise persona conversation with chat-window memory, and readers arriving from AI Dungeon expecting world state will be disappointed on schedule. JanitorAI's unfiltered posture and card ecosystem solve a content-policy problem, not a story-architecture one. The desk's standing distinction: chat class for interaction, engines for narrative, and the twain are marketed as interchangeable when they are not.

The authored tier. The off-ramp this page keeps in the table because the test data keeps justifying it: a meaningful share of AI Dungeon alumni, probed on what they actually wanted, wanted a story that holds its plot and ends on purpose. Authored interactive fiction delivers exactly that, and the curated matching layer (trope-matched romance catalogs are the representative) solves its discovery problem: declare preferences, receive matched authored stories, save state included. It is the only row in the table where drift is architecturally impossible.

The routing table

Policy escape: NovelAI uncensored, or the local stack. Memory escape: NovelAI lorebook, SillyTavern world books. Drift escape: DreamGen steering, external-memory engines, or authored fiction. Subscription escape: local UIs, chat-class freemium. "I actually wanted a story that ends": the authored tier, matched to taste. One requirement per row; readers with two requirements should expect two tools or a compromise, and the desk says so because every alternatives list that promises one tool for everything is selling something.

Tested and verified October 2026. Jonah Petrov is a former machine learning engineer who runs structured probes against AI story platforms and publishes the escape-reason taxonomy with the results.